Simulation Engineer - kyyba : Job Details

Simulation Engineer Location: Auburn hills, MI The EM Simulation Engineer plays a pivotal role in supporting the modeling and simulation efforts aimed at enhancing fuel consumption, energy efficiency, and range. This involves aligning technological advancements with the company's action plan to meet Product and Brand targets while optimizing measurement methods and vehicle characteristics to improve positioning in Fuel economy, Range Labeling, and GHG. Responsibilities:

• Communicate, both orally and in written format, the expected gains from the application of proposed technologies, monitoring their validation throughout the implementation of the Energy Efficiency plan.
• Create and present scenarios, graphs, and tables for reports, enabling strategic decision-making in global meetings and product committees to achieve set goals.
• Provide support in diagnosing pre-certification results for Gas Emissions, Fuel Consumption, Electric Energy Consumption, and Range, particularly for the US and North America market.
• Contribute to convergence groups on simulation methodologies, aiding the evolution of virtual and experimental validation tools within the Stellantis group to reduce consumption and enhance vehicle performance.
• Conduct vehicle performance modeling and simulation for launch and capability maneuvers as per client processes and test procedures.

Basic Qualifications:

• Bachelor's degree in Applied Physics, Mechanical, Electrical, Aerospace, Industrial, or Computer Engineering, or a related field from an ABET accredited university.
• Excellent communication and presentation skills.
• Familiarity with EPA fuel economy regulations and procedures, with previous academic or professional exposure.
• Knowledge of hybrid powertrain technology and fuel economy considerations, with previous academic or professional exposure.
• Experience in creating virtual models and correlating them to real-world results, with previous academic or professional exposure.
• Ability to efficiently manage and process large amounts of data.